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Machina Sports vs Caddygo

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Machina Sports compared with Caddygo
DetailMachina Sports logo Machina SportsCaddygo logo Caddygo
What it doesPlatform to build and run sports AI agents powered by your data AI agents for procurement that work inside Microsoft 365 and Google Workspace
StageNot given Not given
Founded2023 Not given
Based inUS DE
Pricing modelFreemium Paid
PricingFree trial: 7 days, 100K tokens, no card required. Builder: $200 per month including 2M tokens, 1 project, 3 seats. Enterprise: custom pricing scoped with the team for customer-facing production. Starter: €295/month for up to 20 sourcing events/year; Growth: €645/month for up to 50 sourcing events/year; Scale: €1,195/month for up to 100 sourcing events/year; Enterprise: custom pricing for 100+ events/year. All plans include unlimited users. Events beyond plan run at €249 each. Annual billing
Key features
  • Factory: Turn brief into sports app or agent preview
  • Studio: Manage projects, agents, workflows, activity, and usage
  • Arena: Evaluate agents, workflows, and model configurations
  • AI Router: Route model requests through configured providers and profiles
  • Workflow governance with approval modes
  • Connect multiple data sources including live sports feeds and CRM data
  • SDK and published APIs for integration
  • Output record and audit trail
  • Sports-native agent with entity model
  • No betting advice or wagering guidance
  • Draft RFx documents with evaluation criteria and submission guidelines
  • Vendor research and shortlisting
  • Pricing and compliance matrix comparison
  • Negotiation preparation and leverage analysis
  • Works inside Microsoft 365 and Google Workspace
  • Structured workflow process
  • Company template support
  • Event rollover and flexible billing
  • Human review and control at every step
What makes it different
  • Platform purpose-built for sports workflows, not generic agent framework
  • Built-in approval and governance for compliance and brand rules
  • Structured evaluation and comparison before deployment
  • Live sports data grounding with current match state
  • Measurable output with telemetry and audit trail
  • Operates inside existing tools without requiring adoption of new software or workflows
  • Structured, multi-phase workflow prevents steps from falling through the cracks
  • Category-specific AI knowledge designed for procurement rigor
  • Human-in-the-loop design with transparent, auditable recommendations
  • Pricing by sourcing volume, not seats, with unlimited users
Community votes00
DR (Domain Rating by Ahrefs)28 no change since last check17 no change since last check
Trust Flow (Majestic)98
Citation Flow (Majestic)3118
Referring domains (Majestic)16217

6 details filled in for both companies.

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